Quantitative data analysis for social scientists / Alan Bryman and Duncan Cramer

Bryman, Alan (1947-). Cramer, Duncan (1948-)

ISBN 10: 0415113075 / ISBN 13: 9780415113076

Verlag: London : Routledge, 1994

Beschreibung

Near fine paperback copy; edges very slightly dust-dulled and nicked. Remains particularly well-preserved overall; tight, bright, and clean. Physical description; 294 pp.: illustrations ; 24 cm. Contents; 1. Data analysis and the research process -- 2. Analysing data with computers: first steps with SPSS and SPSS/PC+ -- 3. Analysing data with computers: further steps with SPSS and SPSS/PC+ -- 4. Concepts and their measurement -- 5. Summarizing data -- 6. Sampling and statistical significance -- 7. Bivariate analysis: exploring differences between scores on two variables -- 8. Bivariate analysis: exploring relationships -- 9. Multivariate analysis: exploring differences among three or more variables -- 10. Multivariate analysis: exploring relationships among three or more variables -- 11. Aggregating variables: exploratory factor analysis. Subjects; SPSS (Computer file). Social sciences Computer programs. Analysis of variance. Data processing. Quantitative research. Social sciences Research Methodology. Statistics. Mathematics. Data Interpretation, Statistical [MESH]. 1 Kg.

Bestandsnummer des Verkäufers 386579

Bibliografische Details

• Titel: Quantitative data analysis for social scientists / Alan Bryman and Duncan Cramer
• Verlag: London : Routledge
• Erscheinungsjahr: 1994
• Sprache: Englisch
• ISBN-10: 0415113075
• ISBN-13: 9780415113076
• Einband: Softcover
• Auflage: Revised Edition.
• Gewicht: 1 Kilogramm

Über diesen Titel

Inhaltsangabe

This highly successful text has now been revised in the light of the new version of SPSS. Students will be able to continue using this non-technical introduction to statistical techniques in the knowledge that it is fully up to date.

Reseña del editor

This text has now been revised in the light of the new version of SPSS. Students will be able to continue using this non-technical introduction to statistical techniques in the knowledge that it has been updated.